Built an AI-driven chatbot aimed at improving customer service response times and reducing operational costs. The chatbot uses natural language processing (NLP) to understand customer queries, provide instant responses, and escalate complex issues to human agents when necessary. Trained on thousands of customer service interactions to improve accuracy over time, the chatbot successfully reduced response times by 60% and handled 80% of common customer inquiries autonomously. Integrated with CRM for personalized responses and continuous learning.
Python, TensorFlow, Flask, NLP (Natural Language Processing), Dialogflow, CRM Integration, AWS Lex, WebSocket for Real-Time Communication, Sentiment Analysis, Continuous Learning Pipelines